The 3 Levels of Decision Automation

  1. Experiential Reasoning
  2. Objective Oriented Reasoning
  3. Risk Informed Optimisation

Experiential Reasoning

Objective Oriented Reasoning

Risk Informed Optimisation

Conclusion

  • Complexity of the advisory principles
  • Complexity of process to be optimised
  • Availability and nature of historical/operational data
  • Scaleability of rule-based solutions
  • Availability and applicability of empirical process models
  • Importance of risk factor considerations

Future Scopes

  1. Intertemporal choices
  2. Hybrid concepts

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Darrell Leong, Ph.D.

Darrell Leong, Ph.D.

Decision scientist developing advisory engines across a variety of applications.